[Seminar] Data Engineering in Clinical and Translational Science
Clinical and Translational Science Institute at Children's National Hospital
■호스트: 이상구 교수(x5357, 880-5357)
Clinical and Translational Science is the field to develop innovative solutions that will improve the efficiency, quality and impact of the process for turning observations in the laboratory, clinic and community into interventions that improve the health of individuals and the public. Its spectrum represents each stage of research along the path from the biological basis of health and disease to health outcomes at the population level to determine the effects of diseases and efforts to prevent, diagnose and treat them.
The role of Informatics is focused on enabling and improving the accessibility of the scientific and operational principles underlying each step of the translational process. In this talk, the various challenges and issues at each stages of the spectrum from the data engineering perspective will be presented.
Dongkyu Kim, Ph.D.
Faculty, Co-Director of Bioinformatics, Clinical and Translational Science Institute at Children's National Hospital
Assistant Professor, School of Medicine and Health Science at George Washington University
- 2007-2013, Faculty, Medical Center at Georgetown University, DC, USA
- 2004-2007, Chief Technology Officer, Prompt, Seoul, Korea
Dr. Dongkyu Kim has in-depth expertise in database integration from heterogeneous sources and data quality management. He developed various enterprise level data management software such as MDM (Master Data Management), SRM (Supplier Relationship Management), and an Information Retrieval System based on Ontology technologies. At the Medical Center at Georgetown University, he expanded his expertise to biomedical domains. He participated in the development of the Georgetown Database of Cancer (GDOC) system which is an informatics framework that uses unified centralized data storage to allow researchers to access and analyze clinical and research data across multiple trials and studies. In the Informatics Support Center at LCCC (Lombardi Comprehensive Cancer Center), he developed and maintained the core data and software infrastructure for the NCI Cancer Family Registries that is a resource for investigating the genetic epidemiology of breast, ovarian, and colorectal cancers. He also developed cohort discovery methodologies and a data warehouse system for querying clinical and biomedical information across multiple institutions at the GHUCCTS (Georgetown-Howard Universities Center for Clinical and Translational Science) and the CTSI-CN (Clinical and Translational Science Institute at Children’s National).